Embedded analytics · November 2026 Edition
Microsoft Power BI Embedded vs Apache Superset
Three of fourteen models named Microsoft Power BI Embedded first on the direct prompt; zero named Apache Superset. Microsoft Power BI Embedded was named by thirteen of the fourteen models and Apache Superset by nine and Microsoft Power BI Embedded carries 26 labels and Apache Superset 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate46%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 15; printed, not drawn.
Labels2611A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft Power BI Embedded reading right to left. Rank and label count are printed, not drawn.Sisense was named alongside these two in ten of the fourteen direct answers. Metabase vs Microsoft Power BI Embedded · Metabase vs Apache Superset · Luzmo vs Microsoft Power BI Embedded
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the embedded analytics page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Microsoft Power BI EmbeddedFirst choices, of fourteen modelsApache Superset
Direct302 against Microsoft Power BI Embedded
Paraphrase003 against Microsoft Power BI Embedded
Comparative00
Budget-constrained01
Scale-constrained00
Negative007 against Microsoft Power BI Embedded · 1 against Apache Superset
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Microsoft Power BI Embedded and Apache Superset stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | |||||
| Grok 4.20 | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | |||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | |
Microsoft Power BI Embedded Apache Superset first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Power BI Embedded on the left and Apache Superset on the right.The direct prompt
The plain question, one answer per model, grouped by where Microsoft Power BI Embedded and Apache Superset stood in it.
Microsoft Power BI Embedded first, Apache Superset not the choice
3 of 14 modelsApache Superset was named in the answer but not as the choice, or not at all.Grok 4.20Microsoft Power BI Embedded alternatives: Domo Everywhere, Dundas BI, Looker, Qlik Sense Embedded, Qrvey, Sisense, Tableau Embedded Analytics
Kimi K2Microsoft Power BI Embedded alternatives: Embeddable, Looker, Luzmo, Sisense, Tableau Embedded Analytics
MiniMax M2.5Domo Everywhere, Microsoft Power BI Embedded alternatives: Looker, Qlik Embedded Analytics / QAP, Tableau Embedded Analytics
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5no first choice alternatives: Metabase, Microsoft Power BI Embedded, Omni, Sigma, Sisense
DeepSeek V4 FlashLuzmo, Sisense alternatives: GoodData, Microsoft Power BI Embedded
Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniSisense alternatives: Looker, Metabase, Power BI Embedded, Toucan
Gemini 3.5 FlashLuzmo alternatives: Embeddable, Explo, Omni, Qrvey
Perplexity SonarQrvey alternatives: Embeddable, GoodData, Holistics, Looker Embedded, Omni, Power BI Embedded, Sigma, Sisense
Mistral SmallCube, Sisense alternatives: Power BI Embedded, Tableau Embedded Analytics
Llama 4 Maverickno first choice
Qwen 3.7 FlashSisense alternatives: GoodData, Looker, Luzmo, Qrvey, Zoho Analytics
GLM 4.7 FlashXSisense alternatives: Looker, Power BI Embedded
GPT-6 LunaMetabase alternatives: Looker, Power BI Embedded, Sigma
Muse Glimmer 30BQrvey alternatives: Dundas BI, Embeddable, Holistics, Luzmo, Omni, Power BI Embedded, Sisense, Zoho Analytics
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Microsoft Power BI Embedded0%#11 of 13Apache Superset0%#– of 13Mid-marketThe figures above
Microsoft Power BI Embedded leads by four points.
Microsoft Power BI Embedded6%#5 of 15Apache Superset2%#8 of 15Enterprise
Microsoft Power BI Embedded leads by nine points.
Microsoft Power BI Embedded9%#5 of 15Apache Superset0%#– of 15What the models said about Microsoft Power BI Embedded
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Traditional enterprise BI platforms (like Tableau, Power BI, or Looker) often fail mid-market B2B SaaS teams.” Gemini 3.5 Flash · direct prompt · hard negative
“Faces significant criticism (73% negative for small businesses... Issues include complexity and expense” Mistral Small · negative prompt · hard negative
“Best For: Internal dashboards only; avoid if building a customer-facing product.” Qwen 3.7 Flash · negative prompt · hard negative
“I'd recommend starting with Microsoft Power BI or Domo Everywhere” MiniMax M2.5 · direct prompt · first choice
“Top Recommendation: Microsoft Power BI Embedded” Grok 4.20 · direct prompt · first choice
“1. Microsoft Power BI (Best Overall Value)” Kimi K2 · direct prompt · first choice
What the models said about Apache Superset
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Free software, but high DevOps overhead & manual multi-tenancy setup” Gemini 3.5 Flash · negative prompt · soft negative
“Apache Superset – fully customizable, open-source, and free to deploy.” GLM 4.7 FlashX · budget prompt · first choice
“Open-source like Apache Superset or Metabase can be cost-effective with customization but require more dev work” Grok 4.20 · negative prompt · alternative
“Use Superset only if you have zero budget for software licenses but have plenty of engineering bandwidth” Qwen 3.7 Flash · paraphrase prompt · alternative
Also compared
Metabase vs Microsoft Power BI EmbeddedMetabase vs Apache SupersetLuzmo vs Microsoft Power BI EmbeddedLuzmo vs Apache SupersetSisense vs Microsoft Power BI EmbeddedSisense vs Apache SupersetQrvey vs Microsoft Power BI EmbeddedQrvey vs Apache SupersetMicrosoft Power BI Embedded vs EmbeddableMicrosoft Power BI Embedded vs Zoho AnalyticsEmbeddable vs Apache SupersetZoho Analytics vs Apache SupersetAll twenty-eight head-to-head pages and the full embedded analytics standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.